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<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> 机器学习入门指南（极简版）</a><ul>
<li class="chapter" data-level="1.1" data-path="index.html"><a href="index.html#python"><i class="fa fa-check"></i><b>1.1</b> Python</a><ul>
<li class="chapter" data-level="1.1.1" data-path="index.html"><a href="index.html#python书"><i class="fa fa-check"></i><b>1.1.1</b> Python——书</a></li>
<li class="chapter" data-level="1.1.2" data-path="index.html"><a href="index.html#python教程"><i class="fa fa-check"></i><b>1.1.2</b> Python——教程</a></li>
<li class="chapter" data-level="1.1.3" data-path="index.html"><a href="index.html#python视频"><i class="fa fa-check"></i><b>1.1.3</b> Python——视频</a></li>
</ul></li>
<li class="chapter" data-level="1.2" data-path="index.html"><a href="index.html#机器学习"><i class="fa fa-check"></i><b>1.2</b> 机器学习</a><ul>
<li class="chapter" data-level="1.2.1" data-path="index.html"><a href="index.html#机器学习书"><i class="fa fa-check"></i><b>1.2.1</b> 机器学习——书</a></li>
<li class="chapter" data-level="1.2.2" data-path="index.html"><a href="index.html#机器学习教程"><i class="fa fa-check"></i><b>1.2.2</b> 机器学习——教程</a></li>
<li class="chapter" data-level="1.2.3" data-path="index.html"><a href="index.html#机器学习视频"><i class="fa fa-check"></i><b>1.2.3</b> 机器学习——视频</a></li>
<li class="chapter" data-level="1.2.4" data-path="index.html"><a href="index.html#机器学习数学基础"><i class="fa fa-check"></i><b>1.2.4</b> 机器学习——数学基础</a></li>
</ul></li>
<li class="chapter" data-level="1.3" data-path="index.html"><a href="index.html#一些经验和建议"><i class="fa fa-check"></i><b>1.3</b> 一些经验和建议</a></li>
</ul></li>
<li class="chapter" data-level="2" data-path="python基础.html"><a href="python基础.html"><i class="fa fa-check"></i><b>2</b> Python基础</a><ul>
<li class="chapter" data-level="2.1" data-path="python基础.html"><a href="python基础.html#python-1"><i class="fa fa-check"></i><b>2.1</b> Python</a><ul>
<li class="chapter" data-level="2.1.1" data-path="python基础.html"><a href="python基础.html#python学习教程"><i class="fa fa-check"></i><b>2.1.1</b> Python学习教程</a></li>
<li class="chapter" data-level="2.1.2" data-path="python基础.html"><a href="python基础.html#python学习方法"><i class="fa fa-check"></i><b>2.1.2</b> Python学习方法</a></li>
<li class="chapter" data-level="2.1.3" data-path="python基础.html"><a href="python基础.html#python基础系列"><i class="fa fa-check"></i><b>2.1.3</b> Python基础系列</a></li>
<li class="chapter" data-level="2.1.4" data-path="python基础.html"><a href="python基础.html#python库"><i class="fa fa-check"></i><b>2.1.4</b> Python库</a></li>
</ul></li>
<li class="chapter" data-level="2.2" data-path="python基础.html"><a href="python基础.html#numpy"><i class="fa fa-check"></i><b>2.2</b> Numpy</a></li>
<li class="chapter" data-level="2.3" data-path="python基础.html"><a href="python基础.html#pandas"><i class="fa fa-check"></i><b>2.3</b> Pandas</a></li>
<li class="chapter" data-level="2.4" data-path="python基础.html"><a href="python基础.html#matplotlib"><i class="fa fa-check"></i><b>2.4</b> Matplotlib</a></li>
<li class="chapter" data-level="2.5" data-path="python基础.html"><a href="python基础.html#python数据可视化"><i class="fa fa-check"></i><b>2.5</b> Python数据可视化</a></li>
<li class="chapter" data-level="2.6" data-path="python基础.html"><a href="python基础.html#环境和ide"><i class="fa fa-check"></i><b>2.6</b> 环境和IDE</a><ul>
<li class="chapter" data-level="2.6.1" data-path="python基础.html"><a href="python基础.html#如何选择ide"><i class="fa fa-check"></i><b>2.6.1</b> 如何选择IDE</a></li>
<li class="chapter" data-level="2.6.2" data-path="python基础.html"><a href="python基础.html#pycharm"><i class="fa fa-check"></i><b>2.6.2</b> PyCharm</a></li>
<li class="chapter" data-level="2.6.3" data-path="python基础.html"><a href="python基础.html#vscode"><i class="fa fa-check"></i><b>2.6.3</b> VSCode</a></li>
<li class="chapter" data-level="2.6.4" data-path="python基础.html"><a href="python基础.html#spyderjupyter"><i class="fa fa-check"></i><b>2.6.4</b> Spyder&amp;Jupyter</a></li>
</ul></li>
<li class="chapter" data-level="2.7" data-path="python基础.html"><a href="python基础.html#如何阅读-python-开源项目代码"><i class="fa fa-check"></i><b>2.7</b> 如何阅读 Python 开源项目代码?</a></li>
<li class="chapter" data-level="2.8" data-path="python基础.html"><a href="python基础.html#其他待分类"><i class="fa fa-check"></i><b>2.8</b> 其他（待分类）</a></li>
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<li class="chapter" data-level="3" data-path="数学基础.html"><a href="数学基础.html"><i class="fa fa-check"></i><b>3</b> 数学基础</a><ul>
<li class="chapter" data-level="3.1" data-path="数学基础.html"><a href="数学基础.html#数学学习误区"><i class="fa fa-check"></i><b>3.1</b> 数学学习误区</a></li>
<li class="chapter" data-level="3.2" data-path="数学基础.html"><a href="数学基础.html#机器学习与数学"><i class="fa fa-check"></i><b>3.2</b> 机器学习与数学</a></li>
<li class="chapter" data-level="3.3" data-path="数学基础.html"><a href="数学基础.html#统计学"><i class="fa fa-check"></i><b>3.3</b> 统计学</a></li>
<li class="chapter" data-level="3.4" data-path="数学基础.html"><a href="数学基础.html#概率论"><i class="fa fa-check"></i><b>3.4</b> 概率论</a></li>
<li class="chapter" data-level="3.5" data-path="数学基础.html"><a href="数学基础.html#微积分"><i class="fa fa-check"></i><b>3.5</b> 微积分</a></li>
<li class="chapter" data-level="3.6" data-path="数学基础.html"><a href="数学基础.html#线性代数"><i class="fa fa-check"></i><b>3.6</b> 线性代数</a></li>
<li class="chapter" data-level="3.7" data-path="数学基础.html"><a href="数学基础.html#优化"><i class="fa fa-check"></i><b>3.7</b> 优化</a></li>
</ul></li>
<li class="chapter" data-level="4" data-path="机器学习基础.html"><a href="机器学习基础.html"><i class="fa fa-check"></i><b>4</b> 机器学习基础</a><ul>
<li class="chapter" data-level="4.1" data-path="机器学习基础.html"><a href="机器学习基础.html#机器学习总览"><i class="fa fa-check"></i><b>4.1</b> 机器学习总览</a></li>
<li class="chapter" data-level="4.2" data-path="机器学习基础.html"><a href="机器学习基础.html#机器学习的局限"><i class="fa fa-check"></i><b>4.2</b> 机器学习的局限</a></li>
<li class="chapter" data-level="4.3" data-path="机器学习基础.html"><a href="机器学习基础.html#数据清理和格式化"><i class="fa fa-check"></i><b>4.3</b> 数据清理和格式化</a></li>
<li class="chapter" data-level="4.4" data-path="机器学习基础.html"><a href="机器学习基础.html#探索性数据分析"><i class="fa fa-check"></i><b>4.4</b> 探索性数据分析</a></li>
<li class="chapter" data-level="4.5" data-path="机器学习基础.html"><a href="机器学习基础.html#特征工程和特征选择"><i class="fa fa-check"></i><b>4.5</b> 特征工程和特征选择</a></li>
<li class="chapter" data-level="4.6" data-path="机器学习基础.html"><a href="机器学习基础.html#性能指标"><i class="fa fa-check"></i><b>4.6</b> 性能指标</a></li>
<li class="chapter" data-level="4.7" data-path="机器学习基础.html"><a href="机器学习基础.html#优化方法"><i class="fa fa-check"></i><b>4.7</b> 优化方法</a></li>
<li class="chapter" data-level="4.8" data-path="机器学习基础.html"><a href="机器学习基础.html#超参数调整"><i class="fa fa-check"></i><b>4.8</b> 超参数调整</a></li>
<li class="chapter" data-level="4.9" data-path="机器学习基础.html"><a href="机器学习基础.html#评估最佳模型"><i class="fa fa-check"></i><b>4.9</b> 评估最佳模型</a></li>
<li class="chapter" data-level="4.10" data-path="机器学习基础.html"><a href="机器学习基础.html#机器学习资源推荐"><i class="fa fa-check"></i><b>4.10</b> 机器学习资源推荐</a></li>
<li class="chapter" data-level="4.11" data-path="机器学习基础.html"><a href="机器学习基础.html#面试竞赛经验"><i class="fa fa-check"></i><b>4.11</b> 面试&amp;竞赛经验</a></li>
<li class="chapter" data-level="4.12" data-path="机器学习基础.html"><a href="机器学习基础.html#机器学习的书怎么读"><i class="fa fa-check"></i><b>4.12</b> 机器学习的书怎么读？</a><ul>
<li class="chapter" data-level="4.12.1" data-path="机器学习基础.html"><a href="机器学习基础.html#统计学习方法"><i class="fa fa-check"></i><b>4.12.1</b> 统计学习方法</a></li>
<li class="chapter" data-level="4.12.2" data-path="机器学习基础.html"><a href="机器学习基础.html#西瓜书"><i class="fa fa-check"></i><b>4.12.2</b> 西瓜书</a></li>
</ul></li>
<li class="chapter" data-level="4.13" data-path="机器学习基础.html"><a href="机器学习基础.html#机器学习工具"><i class="fa fa-check"></i><b>4.13</b> 机器学习工具</a></li>
<li class="chapter" data-level="4.14" data-path="机器学习基础.html"><a href="机器学习基础.html#其他"><i class="fa fa-check"></i><b>4.14</b> 其他</a></li>
</ul></li>
<li class="chapter" data-level="5" data-path="机器学习模型.html"><a href="机器学习模型.html"><i class="fa fa-check"></i><b>5</b> 机器学习模型</a><ul>
<li class="chapter" data-level="5.1" data-path="机器学习模型.html"><a href="机器学习模型.html#掌握机器学习算法的三重境界"><i class="fa fa-check"></i><b>5.1</b> 掌握机器学习算法的三重境界</a></li>
<li class="chapter" data-level="5.2" data-path="机器学习模型.html"><a href="机器学习模型.html#天搞定机器学习系统连载中"><i class="fa fa-check"></i><b>5.2</b> 100天搞定机器学习系统（连载中）</a></li>
<li class="chapter" data-level="5.3" data-path="机器学习模型.html"><a href="机器学习模型.html#回归"><i class="fa fa-check"></i><b>5.3</b> 回归</a></li>
<li class="chapter" data-level="5.4" data-path="机器学习模型.html"><a href="机器学习模型.html#逻辑回归"><i class="fa fa-check"></i><b>5.4</b> 逻辑回归</a></li>
<li class="chapter" data-level="5.5" data-path="机器学习模型.html"><a href="机器学习模型.html#决策树"><i class="fa fa-check"></i><b>5.5</b> 决策树</a></li>
<li class="chapter" data-level="5.6" data-path="机器学习模型.html"><a href="机器学习模型.html#主成分分析"><i class="fa fa-check"></i><b>5.6</b> 主成分分析</a></li>
<li class="chapter" data-level="5.7" data-path="机器学习模型.html"><a href="机器学习模型.html#随机森林"><i class="fa fa-check"></i><b>5.7</b> 随机森林</a></li>
<li class="chapter" data-level="5.8" data-path="机器学习模型.html"><a href="机器学习模型.html#xgboost"><i class="fa fa-check"></i><b>5.8</b> XGBoost</a></li>
<li class="chapter" data-level="5.9" data-path="机器学习模型.html"><a href="机器学习模型.html#聚类"><i class="fa fa-check"></i><b>5.9</b> 聚类</a></li>
<li class="chapter" data-level="5.10" data-path="机器学习模型.html"><a href="机器学习模型.html#贝叶斯"><i class="fa fa-check"></i><b>5.10</b> 贝叶斯</a></li>
<li class="chapter" data-level="5.11" data-path="机器学习模型.html"><a href="机器学习模型.html#svm"><i class="fa fa-check"></i><b>5.11</b> SVM</a></li>
<li class="chapter" data-level="5.12" data-path="机器学习模型.html"><a href="机器学习模型.html#降维"><i class="fa fa-check"></i><b>5.12</b> 降维</a></li>
<li class="chapter" data-level="5.13" data-path="机器学习模型.html"><a href="机器学习模型.html#其他-1"><i class="fa fa-check"></i><b>5.13</b> 其他</a></li>
<li class="chapter" data-level="5.14" data-path="机器学习模型.html"><a href="机器学习模型.html#学习方法"><i class="fa fa-check"></i><b>5.14</b> 学习方法</a></li>
</ul></li>
<li class="chapter" data-level="6" data-path="机器学习项目实战.html"><a href="机器学习项目实战.html"><i class="fa fa-check"></i><b>6</b> 机器学习项目实战</a><ul>
<li class="chapter" data-level="6.1" data-path="机器学习项目实战.html"><a href="机器学习项目实战.html#数据分析篇"><i class="fa fa-check"></i><b>6.1</b> 数据分析篇</a></li>
<li class="chapter" data-level="6.2" data-path="机器学习项目实战.html"><a href="机器学习项目实战.html#机器学习篇"><i class="fa fa-check"></i><b>6.2</b> 机器学习篇</a></li>
<li class="chapter" data-level="6.3" data-path="机器学习项目实战.html"><a href="机器学习项目实战.html#深度学习"><i class="fa fa-check"></i><b>6.3</b> 深度学习</a></li>
<li class="chapter" data-level="6.4" data-path="机器学习项目实战.html"><a href="机器学习项目实战.html#其他-2"><i class="fa fa-check"></i><b>6.4</b> 其他</a></li>
</ul></li>
<li class="chapter" data-level="7" data-path="深度学习基础.html"><a href="深度学习基础.html"><i class="fa fa-check"></i><b>7</b> 深度学习基础</a><ul>
<li class="chapter" data-level="7.1" data-path="深度学习基础.html"><a href="深度学习基础.html#入门教程"><i class="fa fa-check"></i><b>7.1</b> 入门教程</a></li>
<li class="chapter" data-level="7.2" data-path="深度学习基础.html"><a href="深度学习基础.html#神经网络"><i class="fa fa-check"></i><b>7.2</b> 神经网络</a></li>
<li class="chapter" data-level="7.3" data-path="深度学习基础.html"><a href="深度学习基础.html#深度学习-1"><i class="fa fa-check"></i><b>7.3</b> 深度学习</a></li>
<li class="chapter" data-level="7.4" data-path="深度学习基础.html"><a href="深度学习基础.html#资源推荐"><i class="fa fa-check"></i><b>7.4</b> 资源推荐</a></li>
<li class="chapter" data-level="7.5" data-path="深度学习基础.html"><a href="深度学习基础.html#其他-3"><i class="fa fa-check"></i><b>7.5</b> 其他</a></li>
</ul></li>
<li class="chapter" data-level="8" data-path="工具和框架篇.html"><a href="工具和框架篇.html"><i class="fa fa-check"></i><b>8</b> 工具和框架篇</a><ul>
<li class="chapter" data-level="8.1" data-path="工具和框架篇.html"><a href="工具和框架篇.html#常见框架"><i class="fa fa-check"></i><b>8.1</b> 常见框架</a></li>
<li class="chapter" data-level="8.2" data-path="工具和框架篇.html"><a href="工具和框架篇.html#sklearn"><i class="fa fa-check"></i><b>8.2</b> sklearn</a><ul>
<li class="chapter" data-level="8.2.1" data-path="工具和框架篇.html"><a href="工具和框架篇.html#如何正确地实用sklearn"><i class="fa fa-check"></i><b>8.2.1</b> 如何正确地实用sklearn</a></li>
<li class="chapter" data-level="8.2.2" data-path="工具和框架篇.html"><a href="工具和框架篇.html#sklearn入门及技巧篇"><i class="fa fa-check"></i><b>8.2.2</b> sklearn入门及技巧篇</a></li>
</ul></li>
<li class="chapter" data-level="8.3" data-path="工具和框架篇.html"><a href="工具和框架篇.html#tensorflow-vs-pytorch"><i class="fa fa-check"></i><b>8.3</b> TensorFlow VS PyTorch</a><ul>
<li class="chapter" data-level="8.3.1" data-path="工具和框架篇.html"><a href="工具和框架篇.html#安装问题"><i class="fa fa-check"></i><b>8.3.1</b> 安装问题</a></li>
</ul></li>
<li class="chapter" data-level="8.4" data-path="工具和框架篇.html"><a href="工具和框架篇.html#tensorflow"><i class="fa fa-check"></i><b>8.4</b> Tensorflow</a></li>
<li class="chapter" data-level="8.5" data-path="工具和框架篇.html"><a href="工具和框架篇.html#pytorch"><i class="fa fa-check"></i><b>8.5</b> Pytorch</a><ul>
<li class="chapter" data-level="8.5.1" data-path="工具和框架篇.html"><a href="工具和框架篇.html#pytorch教程"><i class="fa fa-check"></i><b>8.5.1</b> Pytorch教程</a></li>
<li class="chapter" data-level="8.5.2" data-path="工具和框架篇.html"><a href="工具和框架篇.html#pytorch安装与使用"><i class="fa fa-check"></i><b>8.5.2</b> Pytorch安装与使用</a></li>
</ul></li>
<li class="chapter" data-level="8.6" data-path="工具和框架篇.html"><a href="工具和框架篇.html#其他-4"><i class="fa fa-check"></i><b>8.6</b> 其他</a></li>
</ul></li>
<li class="chapter" data-level="9" data-path="开源项目推荐.html"><a href="开源项目推荐.html"><i class="fa fa-check"></i><b>9</b> 开源项目推荐</a></li>
<li class="chapter" data-level="10" data-path="免费资料下载.html"><a href="免费资料下载.html"><i class="fa fa-check"></i><b>10</b> 免费资料下载</a><ul>
<li class="chapter" data-level="10.1" data-path="免费资料下载.html"><a href="免费资料下载.html#python-2"><i class="fa fa-check"></i><b>10.1</b> Python</a></li>
<li class="chapter" data-level="10.2" data-path="免费资料下载.html"><a href="免费资料下载.html#机器学习-1"><i class="fa fa-check"></i><b>10.2</b> 机器学习</a></li>
<li class="chapter" data-level="10.3" data-path="免费资料下载.html"><a href="免费资料下载.html#深度学习-2"><i class="fa fa-check"></i><b>10.3</b> 深度学习</a></li>
<li class="chapter" data-level="10.4" data-path="免费资料下载.html"><a href="免费资料下载.html#其他-5"><i class="fa fa-check"></i><b>10.4</b> 其他</a></li>
<li class="chapter" data-level="10.5" data-path="免费资料下载.html"><a href="免费资料下载.html#数据集"><i class="fa fa-check"></i><b>10.5</b> 数据集</a></li>
<li class="chapter" data-level="10.6" data-path="免费资料下载.html"><a href="免费资料下载.html#r"><i class="fa fa-check"></i><b>10.6</b> R</a></li>
</ul></li>
<li class="chapter" data-level="11" data-path="机器学习论文.html"><a href="机器学习论文.html"><i class="fa fa-check"></i><b>11</b> 机器学习论文</a><ul>
<li class="chapter" data-level="11.1" data-path="机器学习论文.html"><a href="机器学习论文.html#如何高效读论文"><i class="fa fa-check"></i><b>11.1</b> 如何高效读论文？</a></li>
<li class="chapter" data-level="11.2" data-path="机器学习论文.html"><a href="机器学习论文.html#机器学习ai必读论文"><i class="fa fa-check"></i><b>11.2</b> 机器学习、AI必读论文</a></li>
<li class="chapter" data-level="11.3" data-path="机器学习论文.html"><a href="机器学习论文.html#深度学习必读论文"><i class="fa fa-check"></i><b>11.3</b> 深度学习必读论文</a></li>
</ul></li>
<li class="chapter" data-level="12" data-path="杂谈.html"><a href="杂谈.html"><i class="fa fa-check"></i><b>12</b> 杂谈</a><ul>
<li class="chapter" data-level="12.1" data-path="杂谈.html"><a href="杂谈.html#数学的故事"><i class="fa fa-check"></i><b>12.1</b> 数学的故事</a></li>
<li class="chapter" data-level="12.2" data-path="杂谈.html"><a href="杂谈.html#统计学-1"><i class="fa fa-check"></i><b>12.2</b> 统计学</a></li>
<li class="chapter" data-level="12.3" data-path="杂谈.html"><a href="杂谈.html#大厂技术观察"><i class="fa fa-check"></i><b>12.3</b> 大厂技术观察</a></li>
<li class="chapter" data-level="12.4" data-path="杂谈.html"><a href="杂谈.html#程序人生"><i class="fa fa-check"></i><b>12.4</b> 程序人生</a></li>
<li class="chapter" data-level="12.5" data-path="杂谈.html"><a href="杂谈.html#效率工具"><i class="fa fa-check"></i><b>12.5</b> 效率工具</a></li>
<li class="chapter" data-level="12.6" data-path="杂谈.html"><a href="杂谈.html#其他-6"><i class="fa fa-check"></i><b>12.6</b> 其他</a></li>
</ul></li>
<li class="chapter" data-level="13" data-path="联系作者.html"><a href="联系作者.html"><i class="fa fa-check"></i><b>13</b> 联系作者</a></li>
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<h1><span class="header-section-number">第 10 章</span> 免费资料下载</h1>
<div id="python-2" class="section level2">
<h2><span class="header-section-number">10.1</span> Python</h2>
<p><a href="https://mp.weixin.qq.com/s/xf4TT-KSTVOejBqOvYzndA">给专业选手的 Python 笔记</a></p>
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<p><a href="https://t.1yb.co/aAPt">经典教材《统计学习导论Python版</a></p>
<p><a href="https://t.1yb.co/Bfkv">87页新书《给数据科学家的python技能秘籍pdf</a></p>
</div>
<div id="机器学习-1" class="section level2">
<h2><span class="header-section-number">10.2</span> 机器学习</h2>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648955443&amp;idx=2&amp;sn=3148230b3ce0e2c78d055c5d3ce0032b&amp;chksm=87944819b0e3c10f0a48321e8afc7051b81f011b002d4870cdf38c3db32ab9db52ea7b1b395e&amp;token=281192998&amp;lang=zh_CN#rd">LightGBM中文文档</a></p>
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<p><a href="https://t.1yb.co/ejr6">机器学习圣经PRML中文版</a></p>
<p><a href="https://t.1yb.co/upgG">经典著作《机器学习：概率视角</a></p>
<p><a href="https://t.1yb.co/xCWU">清华大学出版！《机器学习导论PDF下载</a></p>
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<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648945474&amp;idx=2&amp;sn=e12df37b336358bfcf8a2c917a024644&amp;chksm=87942168b0e3a87e8a7cfea8bc0466c52fdea9e4d7a53e4abe48c6a22f2ce2033bdccbe673ef&amp;token=281192998&amp;lang=zh_CN#rd">威斯康辛大学《机器学习导论》</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648946950&amp;idx=2&amp;sn=a64f74469388d55cc77efe152f4fcec1&amp;chksm=87942b2cb0e3a23a0290e9873a288b00e4068b66a9adfe9a1c0bd784cf75fb72a2e3099dc386&amp;token=281192998&amp;lang=zh_CN#rd">机器学习画图神器来啦！PPT下载！</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648943190&amp;idx=2&amp;sn=5464e82099d6187bb82bb9e79b2bda99&amp;chksm=8794387cb0e3b16a6c9cc5fc370140712e73937d0754feb00a5449691487f03cc3ed8be144be&amp;token=281192998&amp;lang=zh_CN#rd">【资料下载】机器学习重点概念解析合集</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648955573&amp;idx=2&amp;sn=99a3411bb51eec10cbfd15bf3d8fe019&amp;chksm=8794489fb0e3c189cb0cc7ad2a57f5d3ed132e98d77b8cd0a27919df085072575648362c2f35&amp;token=281192998&amp;lang=zh_CN#rd">【PPT】台大李宏毅《机器学习》2021课程完结！视频、加上答疑书！</a></p>
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</div>
<div id="深度学习-2" class="section level2">
<h2><span class="header-section-number">10.3</span> 深度学习</h2>
<p><a href="http://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=501452490&amp;idx=1&amp;sn=53548f92a09198ad00fb6bfc92f45bdb&amp;chksm=07941ce030e395f608815914ab4bdad4702e617d8fcde7ffcd568bd6bb4b743c1862b76bcb66#rd">深度学习四大名著</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648936378&amp;idx=2&amp;sn=e42aac960f62a720490bce0b111fef89&amp;chksm=87941d90b0e39486e0c5018d680272197cedb84a275feb1b4a90db6d894af5ce6890043d284d&amp;token=281192998&amp;lang=zh_CN#rd">吴恩达亲自推荐的NLP课程开讲，免费！</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648932215&amp;idx=2&amp;sn=8129f36d2892faf86d926ccb8e48c0f8&amp;chksm=8794ed5db0e3644b57e5c2544a78e3dc3ec42934855ad72943b83813f2f9e4423f73d7242483&amp;token=2004915986&amp;lang=en_US#rd">吴恩达点赞的深度学习精炼图笔记</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648931963&amp;idx=2&amp;sn=513b55ab2f6f2d03649d4a33b26b98e6&amp;chksm=8794ec51b0e3654722813be9617c3366ced68785651acf373d58202f368cde8affe51cd4d98a&amp;token=2004915986&amp;lang=en_US#rd">《基于PyTorch的自然语言处理》</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648931759&amp;idx=1&amp;sn=3c8c08501d053f1d6828929ebf6221a8&amp;chksm=8794ef85b0e366936aa568030a40bfb77de1641f81029f41db38845b245a95df83991d7d5242&amp;token=2004915986&amp;lang=en_US#rd">吴恩达新书《Machine Learning Yearning》完整中文版</a></p>
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</div>
<div id="其他-5" class="section level2">
<h2><span class="header-section-number">10.4</span> 其他</h2>
<p><a href="https://t.1yb.co/wiHx">鸿蒙操作系统入门到精通</a></p>
<p><a href="https://t.1yb.co/wiHy">美团《数据结构入门开放下载！</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648946883&amp;idx=3&amp;sn=74307214f2bfa90fd479a6f96a27630f&amp;chksm=87942ae9b0e3a3ffbe9086fe6e4025174cce8498c29e97c499bda59a21277de6ea8e866d42ae&amp;token=281192998&amp;lang=zh_CN#rd">12个神经网络可视化工具，很酷！</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648946242&amp;idx=1&amp;sn=e5c550ec13407a3aae857cf1e1f61f13&amp;chksm=87942468b0e3ad7e457ef214934b79fb565d8165bb8b0415236dc9266bcdc4728ce34e60b32c&amp;token=281192998&amp;lang=zh_CN#rd">麻省理工学院计算机课程【中文版】</a></p>
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<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648933465&amp;idx=1&amp;sn=f6b09ae729872ccea97d37ec2f48d735&amp;chksm=87941673b0e39f651751ba0fecc88b6c52b8761f280541a0b56877b582b4ada2b4856d8c605b&amp;token=281192998&amp;lang=zh_CN#rd">南京大学计算机系人工智能学院《模式识别》开课</a></p>
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</div>
<div id="数据集" class="section level2">
<h2><span class="header-section-number">10.5</span> 数据集</h2>
<p>机器学习中最大的数据集资源列表，作者整理了一个机器学习数据集相关的列表集合，可用于机器学习实验。</p>
<p><img src="files/dataset-store.png"></p>
<p>这种资源可以减少你在线查找数据集的时间，该数据集根据不同的用途/领域划分，包括：CV、NLP、自动驾驶、QA、音频和医疗。你还能根据许可证类型进行划分。</p>
<p>地址：<a href="https://www.datasetlist.com/" class="uri">https://www.datasetlist.com/</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648933216&amp;idx=1&amp;sn=a465b14fd9fa21025746b4448c85a90d&amp;chksm=8794114ab0e3985cdc82e1375133b34646d4ec8d07215b49aad225eeb98b753a5c896876adad&amp;token=281192998&amp;lang=zh_CN#rd">机器学习数据集汇总</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648949460&amp;idx=3&amp;sn=dcd39629b54a9fccb1a92f94fdb3b8e9&amp;chksm=879450feb0e3d9e86b09ab4902783260c3a2612328b3ea9b03198505447a52af7ed9e822e182&amp;token=281192998&amp;lang=zh_CN#rd">下载kaggle数据集的妙招</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648956411&amp;idx=2&amp;sn=8aacf445f20957678cd969d19b8c303d&amp;chksm=87944fd1b0e3c6c76b614e2cc7eb6cfe813bbc3e6472d4a0cc3fc6bff48fb7e8385863d969c9&amp;token=281192998&amp;lang=zh_CN#rd">23个优秀的机器学习数据集</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648940344&amp;idx=3&amp;sn=5c6ce44b900e892870ef88fcc78101b3&amp;chksm=87940d12b0e384044c655a0a58346e4b7af15a03f5702aa4914a78bf2ebaf519d05ede8fee81&amp;token=281192998&amp;lang=zh_CN#rd">机器学习顶级数据资源 Top 8</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648938595&amp;idx=2&amp;sn=83926e9c231119a31305116f3e5ddccd&amp;chksm=87940a49b0e3835f23e79950e20b5abc8e68986b47d5a335afce5ca1c1662cc6c0aed17c3f6a&amp;token=281192998&amp;lang=zh_CN#rd">玩机器学习，再也不缺数据集了</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648947538&amp;idx=2&amp;sn=050ed55efd1f0d6ad15d1e9a84f47697&amp;chksm=87942978b0e3a06e1cf37a70c6ddf4264d4361f4242584edb8e43ba515f0c8e4069f0e054819&amp;token=281192998&amp;lang=zh_CN#rd">Tianchi发布完整开源机器学习数据集！</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648934068&amp;idx=1&amp;sn=f5c8202151908e2290230087a5ee76ea&amp;chksm=8794149eb0e39d889fc1c47f3e8b358fdbe13c5ae99238c6ffaaa695add7d58407a6d1e1032a&amp;token=281192998&amp;lang=zh_CN#rd">14个数据分析和机器学习项目！附数据集</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648946752&amp;idx=1&amp;sn=d0ac94fbfcf3228f005eb737d2d2a5b0&amp;chksm=87942a6ab0e3a37c22f9ac969f8c6408061d5833f5bdea8437ce29ae5dc641bd251ea5d3c2b6&amp;token=281192998&amp;lang=zh_CN#rd">特朗普号没了，幸好保存了所有的推特数据</a></p>
<p><a href="https://mp.weixin.qq.com/s?__biz=MzA4MjYwMTc5Nw==&amp;mid=2648945233&amp;idx=2&amp;sn=2f2ca324bd35cf98090d0cac6a644cdf&amp;chksm=8794207bb0e3a96d596312733a9cc8b9f5466cab4edf4dd7e9643b9dabeb7ee8cd07fd38dcde&amp;token=281192998&amp;lang=zh_CN#rd">吐血整理：43种机器学习开源数据集（附地址/调用方法）</a></p>
</div>
<div id="r" class="section level2">
<h2><span class="header-section-number">10.6</span> R</h2>
<p>BOOKDOWN官网（bookdown.org）上有不少人发布了自己的电子书，完全免费开源，</p>
<p>我筛选了5本感觉很不错的数据科学方面的书，打开图片下方链接即可阅读！</p>
<p><strong>5本数据科学电子书</strong></p>
<p><a href="https://r-graphics.org/" class="uri">https://r-graphics.org/</a></p>
<p><a href="https://r4ds.had.co.nz/" class="uri">https://r4ds.had.co.nz/</a></p>
<p><a href="https://rafalab.github.io/dsbook/" class="uri">https://rafalab.github.io/dsbook/</a></p>
<p><a href="https://www.tidytextmining.com/" class="uri">https://www.tidytextmining.com/</a></p>
<p><a href="https://otexts.com/fpp2/" class="uri">https://otexts.com/fpp2/</a></p>

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